À propos de ce cours : >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<< ***NEW! Specialization Completion Challenge and earn rewards valued at $100. See below for details.*** Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This 1-week, accelerated online course teaches participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The course features interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The course covers data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. PREREQUISITES To get the most out of this course, participants must complete the prior courses in this specialization: • Exploring and Preparing your Data • Storing and Visualizing your Data • Architecture and Performance SPECIALIZATION COMPLETION CHALLENGE As if learning new skills weren't enough of an incentive, we're excited to announce a special completion challenge for 'From Data to Insights with Google Cloud Platform' specialization. Here’s how it works: Our completion challenge runs through August 31, 2018. Complete this Specialization anytime before 11:59pm PT on August 31, 2018 and we'll send you 100 Qwiklabs credits, valued at $100, that you can use to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today!
Les destinataires de ce cours : • Data Analysts, Business Analysts, Business Intelligence professionals • Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform
Créé par : Google Cloud
| Informations de base | Cours 4 de 4 dans From Data to Insights with Google Cloud Platform Specialization |
| Niveau | Intermédiaire |
| Engagement | 1 week of study, 5-7 hours/week |
| Langue | English |
| Matériel requis | You'll need a desktop web browser to run this course's interactive labs via Qwiklabs. |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
Prévisualiser
Programme de cours
SEMAINE 1
Introduction
Welcome to the last course in the Data Insights specialization. In this module we will overview the course topics and the labs platform you will be using.
2 vidéos
- Vidéo: Qwiklabs Overview
Introduction to Machine Learning
In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels.
6 vidéos
- Vidéo: Demo: Google Photos
- Vidéo: What is deep learning?
- Vidéo: ML Applications for Business
- Vidéo: ML Terms: Instances, Features, Labels
- Vidéo: The Spectrum of ML Tools
Noté: Introduction to Machine Learning
Pre-trained ML APIs
In this module we will dive into pre-built and pre-trained ML models that we can access (like image recognition and sentiment analysis) within Cloud Datalab.
11 vidéos
- Vidéo: Demo: Cloud Translate and Vision APIs
- Discussion Prompt: Explore the Cloud Vision API
- Vidéo: Demo: Natural Language Processing API
- Discussion Prompt: Explore the Language APIs
- Vidéo: Collaborative Notebooks in the Cloud
- Vidéo: Demo: Cloud Datalab with BigQuery and Google Analytics
- Vidéo: Accessing BigQuery datasets from Cloud Datalab
- Vidéo: Visualizing Datasets in Charts
- Vidéo: Lab Overview
- Vidéo: Lab Walkthrough
- Vidéo: Lab Intro
- LTI Item: Qwiklabs – Connecting BigQuery to Cloud Datalab
- Vidéo: Lab Walkthrough
Noté: Qwiklabs – Practice with ML APIs within Cloud Datalab
Noté: Notebooks in the Cloud
SEMAINE 2
Creating ML Datasets in BigQuery
8 vidéos
- Vidéo: Choosing good features
- Vidéo: Exploring and Preprocessing Data
- Vidéo: Demo: Exploring and Preprocessing Data
- Vidéo: Other Tools for Creating Data Pipelines
- Vidéo: Knowing the Unknowable
- Vidéo: Creating Repeatable Dataset Splits
- Vidéo: Lab Solution: Creating Repeatable Dataset Splits
Noté: Creating Repeatable Dataset Splits with BigQuery
Noté: Intro to Machine Learning
Creating ML Models in BigQuery
In this module, you will learn how to create machine learning models directly inside of BigQuery. You will learn the new syntax and work through the phases of building, evaluating, and testing an ML model.
6 vidéos, 1 lecture
- Vidéo: Phases of Model Building
- Vidéo: Demo: Predicting Taxi Cab Fare
- Reading: BigQuery ML Resources
- Vidéo: Demo: Creating a Classification Model
- Vidéo: Lab Intro: Predicting Visitor Return Purchases with BigQuery
- Vidéo: Lab Solution: Predicting Visitor Return Purchases in BigQuery
Noté: Predicting Visitor Return Purchases with BigQuery
Noté: Building a Forecasting model in BigQuery ML
Noté: BigQuery ML
End of Course Recap
You've made it to the end! Let's review the lessons learned in the course and what resources are available for continued learning.
1 vidéo
FAQ
Comment cela fonctionne
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Créateurs
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
Notation et examens
Interesting labs and handy things to learn
Easy to understand
This was a great course in going beyond the lecture to applying the concepts of creating, training, testing and deploying a machine learning model
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LL
The instructor Evan is super great to rolling out machine learning in an easy /understandable way. hope he can tech more in-depth of machine learning.